Title :
A Probabilistic Simulation Model to Identify New Generation Investments
Author :
Fonseka, P.A.J. ; Saha, T.K. ; Dong, Z.Y.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
Abstract :
A probabilistic simulation model is developed to identify the type and timing of new merchant generation opportunities in a spot electricity market. The annual expected net revenues of new entrants are compared against the static revenue requirements to decide the dynamic investment plans. Short-term and long-term electricity spot price dynamics and stochastic unit scheduling are modelled in this method to calculate the expected generator revenues. Case studies are shown in the paper, applying the proposed model to Australian national electricity market.
Keywords :
distributed power generation; investment; power markets; probability; Australian national electricity market; dynamic investment plans; generation investments; merchant generation opportunities; net revenues; probabilistic simulation; spot electricity market; stochastic unit scheduling; Australia; Computational modeling; Constraint optimization; Costs; Economic forecasting; Electricity supply industry; Investments; Power engineering and energy; Power generation; Stochastic processes; electricity markets; generation investments; probabilistic models; unit scheduling;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385495